Evidence map›Paper›PMID 40334360›Full record

ArticleSocial science & medicine (1982)2025

Pursuing a "normal" life of food: Families' experiences of pediatric food allergy clinical trials.

Jill A Fisher

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jill A FisherDepartment of Social Medicine and Center for Bioethics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7240, USA. Electronic address: jill.fisher@unc.edu.

Funding

Exploring the Ethical Dimensions of Peanut Allergy Immunotherapy ResearchR21AI156709 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FISHER, JILL A · 2021 to 2022
$428k
NIAID NIH HHS R21 AI156709
6 · The paper itself

Abstract

Although food allergies have been on the rise over the past twenty years, there are currently just two products approved by the United States Food and Drug Administration (US FDA) for this condition, and one treats peanut allergy only. For families seeking medical intervention for their children's food allergies, many turn to clinical trials, which have proliferated in the last decade. Indeed, the entry of the pharmaceutical industry and the availability of clinical trials are rapidly reshaping the food allergy landscape. As a result, many families now perceive clinical trials as a way to "do something" other than merely avoiding the foods to which their children are allergic. Based on ethnographic research, including 124 semi-structured interviews with families and other key stakeholders, this article describes parents' and children's experiences in these clinical trials. It describes how the families that pursue clinical trials for their children's food allergies are typically affluent, and the "normal" life they hope to achieve for their children reflects idealized and privileged notions of normalcy. Analyzing my findings through the lens of stratified biomedicalization, I argue that affluent parents willingly accept a form of biomedicalization of their children that involves exceptional, and sometimes traumatic, clinical trial experiences as they pursue the elusive normal life and future they envision for them.

Indexed as

Clinical Trials as TopicFamilyFood HypersensitivityParentsAdultAnthropology, CulturalChildFemaleHumansMaleQualitative ResearchUnited StatesUnited States Food and Drug AdministrationChildrenClinical trialsFood allergyMedicalizationPrivilegeStratified biomedicalization

Identifiers

PMID40334360
PMCPMC12124937

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.